The Problem
Surfer SEO provides content optimization scores and structure recommendations, but its SERP data is sampled and delayed. Content teams need real-time SERP snapshots to see exactly what Google returns right now for their target keywords -- including AI Overviews, People Also Ask, and featured snippets. Without live data, content is optimized against stale competitive landscapes.
The Scavio Solution
Pair Surfer SEO content optimization with live Scavio SERP queries for the same keywords. Before writing, pull the current top 10 results, AI Overview content, and PAA questions. Use Surfer for content structure and NLP terms. Use Scavio for competitive intelligence on what actually ranks today. The combination gives content teams both optimization guidance and real-time SERP context.
Before
Before adding live SERP data, a content team relied solely on Surfer's built-in SERP analysis. They optimized an article for a keyword where the SERP had shifted 2 weeks prior -- a new competitor had taken positions 1-3 with a different content angle. The article launched targeting an outdated competitive landscape and failed to rank in the top 20.
After
After adding Scavio SERP checks before each content brief, the team catches SERP shifts same-day. 50 keyword checks per batch at $0.25 total. Content briefs now include live top-10 snapshots, current AI Overview citations, and fresh PAA questions. Time-to-rank for new articles improved because content targets the current SERP, not last month's.
Who It Is For
Content teams and SEO writers using Surfer SEO who need real-time SERP intelligence to complement Surfer's content optimization recommendations.
Key Benefits
- Live SERP snapshots complement Surfer's optimization scores
- AI Overview and PAA data not available in Surfer alone
- 50 keyword checks for $0.25 per content batch
- Catch SERP shifts before publishing, not after
- Same-day competitive intelligence for content briefs
Python Example
import requests, os, json
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def serp_snapshot(keyword: str) -> dict:
r = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': keyword, 'ai_overview': True},
timeout=10).json()
organic = r.get('organic', [])[:10]
return {
'keyword': keyword,
'top_10': [{'pos': o['position'], 'title': o['title'],
'domain': o.get('link', '').split('/')[2] if '/' in o.get('link', '') else ''}
for o in organic],
'ai_overview': bool(r.get('ai_overview')),
'ai_overview_text': (r.get('ai_overview', {}) or {}).get('text', '')[:200],
'paa': [q.get('question', '') for q in r.get('people_also_ask', [])[:5]],
}
keywords = ['best project management software 2026', 'project management tool comparison']
for kw in keywords:
snap = serp_snapshot(kw)
print(f'\n--- {kw} ---')
for item in snap['top_10'][:5]:
print(f" #{item['pos']} {item['domain']}: {item['title']}")
if snap['paa']:
print(f" PAA: {snap['paa'][0]}")JavaScript Example
const H = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
async function serpSnapshot(keyword) {
const r = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: H,
body: JSON.stringify({ platform: 'google', query: keyword, ai_overview: true })
}).then(r => r.json());
const organic = (r.organic || []).slice(0, 10);
return {
keyword,
top10: organic.map(o => ({
pos: o.position, title: o.title,
domain: (o.link || '').split('/')[2] || ''
})),
aiOverview: Boolean(r.ai_overview),
paa: (r.people_also_ask || []).slice(0, 5).map(q => q.question || ''),
};
}
const snap = await serpSnapshot('best project management software 2026');
snap.top10.slice(0, 5).forEach(i => console.log(`#${i.pos} ${i.domain}: ${i.title}`));
console.log('PAA:', snap.paa[0]);Platforms Used
Web search with knowledge graph, PAA, and AI overviews